private static void Main()
{
algorithm.NetworksToKeep = NETWORKS_TO_KEEP;
algorithm.MutationChance = MUTATION_CHANCE;
algorithm.MutationRate = MUTATION_RATE;
algorithm.RandomNetworkAmount = RANDOM_NETWORKS_PER_BREEDING;
algorithm.PoolGenerator = new FitnessBasedPoolGenerator();
int generation = 0;
while (true)
{
Dictionary <IWeightedNetwork, SnakeGame> networkAndSnakeGame = SetupAlgorithmDictionary();
Task[] tasks = new Task[networkAndSnakeGame.Count];
int counter = 0;
foreach (KeyValuePair <IWeightedNetwork, SnakeGame> networkAndGame in networkAndSnakeGame)
{
KeyValuePair <IWeightedNetwork, SnakeGame> currentNetworkAndGame = networkAndGame;
tasks[counter++] = Task.Factory.StartNew(
() => RunSnakeGame(currentNetworkAndGame)
, TaskCreationOptions.LongRunning);
}
Task.WaitAll(tasks);
Console.SetCursorPosition(15, 5);
Console.Write($"Generation: {generation}");
algorithm.SortByFitness();
double[] fitnesses = algorithm.GetFitnesses();
for (int i = 0; i < 10; ++i)
{
Console.SetCursorPosition(15, 7 + i);
Console.Write($"{i + 1}: {fitnesses[i].ToString().PadLeft(15)} ID: {algorithm.NetworksAndFitness.Where(x => x.Value == fitnesses[i]).Select(x => x.Key.ID).First()}");
Console.SetCursorPosition(15, 3);
Console.Write($"Average: {fitnesses.Average()}");
}
Console.SetCursorPosition(15, 17);
Console.Write($"{fitnesses.Length}: {fitnesses.Min().ToString().PadLeft(15)} ID: {algorithm.NetworksAndFitness.Where(x => x.Value == fitnesses.LastOrDefault()).Select(x => x.Key.ID).First()}");
if (generation % 10 == 0)
{
ReplayWithBestNetwork();
}
algorithm.BreedBestNetworks();
++generation;
}
}